We can also use {**first_dict, **second_dict}. The issue with this approach is that it is not easily discoverable and it

If we study the functions, internally they check if the string starts with a prefix (or ends with a suffix) and if it does then they return a string without a prefix (or after a suffix) using str[:] slicing feature.

IANA time zones are often called tz or zone info. There are a large number of IANA time zones with different search paths to specify the IANA timezone to a date-time object. As an instance, we can pass in the name of the search path as the Continent/City to a datetime object to set its tzinfo.

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“Fixer-upper is for houses, not people.” If your partner wants to change, that’s an effort you can support, but it’s not for you to decide when, how, and why other people evolve. That just leads to entitlement, gratification, and manipulation. The exception to the rule? Lead by example:

Lastly, the collections library contains aChainMap function. It can take in two dictionaries such as ChainMap(first_dict, second_dict) and return a merged dictionary but again, this library is not commonly-known.

One of the common tasks in a data science application that involves manipulating text is to remove the prefix/suffix of the strings. Two new functions have been added to the str object. These functions can be used to remove unneeded prefix and suffix from a string.

Over the past few releases, a number of static typing features have been built incrementally on top of the existing Python runtime. Some of these features were constrained by existing syntax and runtime behavior. As a consequence, there was a duplicated collection hierarchy in the typing module due to generics.

Remember string is a collection of characters and each character has an index in a string. We can use the indexes along with the colon : to return a subset of the string. This feature is known as slicing a string.

The current CPython parser is LL(1) based. Subsequently, the grammar is LL(1) based to allow it to be parsed by the LL(1) parser. The LL(1) parser is a top-down parser. Furthermore, it parses the inputs from left to right. The current grammar is context-free grammar hence the context of the tokens is not taken into account.

The Python 3.9 version is proposing to replace it with a new PEG-based parser which means it will lift the current LL(1) grammar Python restrictions. Additionally, the current parser has been patched with a number of hacks that are going to be removed. As a result, it will reduce the maintenance cost in long run.

I am eliminating the mention of the low-level details for the sake of keeping the article simple and readable. The link is provided at the bottom if more information is required to be understood.

The LL(1) parser, a context-free grammar parser, will generate constructions such that given an input string will deduce whether it needs to expand A or B or C. The PEG parser is different. It will check if the first alternative succeeds. If it fails only then it will continue with the second or the third.

The key point to take is that the PEG parser has been extensively tested and validated. The PEG parser performance is fine-tuned. As a result, for most instructions, it comes within 10% of the memory and speed consumption of the current parser. This is mainly because the intermediate syntax tree is not constructed.

A generic type is usually a container e.g. list. It is a type that can be parameterized. Parameterized generic is an instance of a generic with the expected types for container elements e.g. list[str]

Although Python is a dynamically typed language, the annotation of the types in the Python program enables introspection of the type. Subsequently, the annotation can be used for API generation of runtime type checking.

As an instance, although the LL(1) parsers and grammars are simple to implement, the restrictions do not allow them to express common constructs in a natural way to the language designer and the reader. The parser only looks at one token ahead to distinguish possibilities.